OPTIMAL SIZING OF HYBRID SYSTEM FOR STAND-ALONE APPLICATION USING GENETIC ALGORITHM

Journal Title: World Journal of Engineering Research and Technology - Year 2017, Vol 3, Issue 2

Abstract

This paper proposes a new approach for the optimum modeling of Hybrid Energy System. The proposed system is mainly based on the meteorological data of wind speed and solar radiations. Optimize of Hybrid Energy System which includes, minimization of total cost, cost of energy (COE), annualized system cost to make the system more economically for the house hold applications. The optimization is achieved by using Genetic Algorithm. The variables wind turbine capacity, PV array ratings, capacity and number of battery banks, rated power of the diesel generator, system initialization cost and O&M cost are considered as the input chromosomes for the algorithm. MATLAB program is created to formulate the optimization technique.

Authors and Affiliations

B. Gokul

Keywords

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  • EP ID EP657534
  • DOI -
  • Views 190
  • Downloads 0

How To Cite

B. Gokul (2017). OPTIMAL SIZING OF HYBRID SYSTEM FOR STAND-ALONE APPLICATION USING GENETIC ALGORITHM. World Journal of Engineering Research and Technology, 3(2), 45-56. https://europub.co.uk/articles/-A-657534